Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46180
Title: How do they like it? Higher education teachers' professional development preferences for blended learning and technology acceptance profiles
Authors: Garone, Anja
Howard, Sarah K.
YANG , Jie
Tondeur, Jo
Pynoo, Bram
Bruggeman, Bram
STRUYVEN, Katrien 
Issue Date: 2025
Publisher: ELSEVIER
Source: Computers in human behavior reports, 18 (Art N° 100680)
Abstract: Blended learning is useful in higher education for catering to diverse student learning needs, however, higher education teaching staff need to be trained and supported so that it is applied attentively. Higher education teachers are diverse themselves with complex professional development needs. This study aims to examine the relationships between professional development preferences and 217 teaching staff grouped into technology acceptance profiles: high, moderate and low. Association rules analysis was run on an 18-item questionnaire dataset of the teaching staff's professional development preferences for blended learning. Results show that the high group is highly motivated to professionalise themselves collaboratively with added central support. The moderate group prefers centrally organised and guided professional development initiatives. The low group prefers centrally organised initiatives with guidance as well as incentive for professionalisation. These results highlight the differences between the groups, and how these preferences can be useful for designing targeted initiatives along with adapted communication strategies for groups with different technology acceptance levels.
Notes: Howard, SK (corresponding author), Univ Leeds, Sch Educ, Leeds LS2 9JT, England.
anja.garone@vub.be; s.k.howard@leeds.ac.uk; jiey@uow.edu.au;
jo.tondeur@vub.be; pynoo@vives.be; bram.bruggeman@vub.be;
katrien.struyven@uhasselt.be
Keywords: Professional development;Higher education;Teaching staff;Blended learning;Data mining;Association rules analysis
Document URI: http://hdl.handle.net/1942/46180
ISSN: 2451-9588
e-ISSN: 2451-9588
DOI: 10.1016/j.chbr.2025.100680
ISI #: 001499529800001
Rights: 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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